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By Tatyana Woodall Researchers have developed the largest-ever dataset of biological images suitable for use by machine learning – and a new vision-based artificial intelligence tool to learn from it. The findings in the new study significantly broaden the scope of what scientists can do using...
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Research on mimicry in butterflies provides one example By Jeff Grabmeier Imageomics, a new field of science, has made stunning progress in the past year and is on the verge of major discoveries about life on Earth, according to one of the founders of the discipline. Tanya Berger-Wolf , faculty...
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In February 2024, we are pleased to announce our inaugural Imageomics workshop as part of the AAAI 2024 conference. Imageomics aims to computationally analyze traits from images, covering morphology, physiology, behavior, and genetic characteristics of organisms. Our primary goal is to ensure that...
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Images as the source of information about life

Biologists must analyze traits in order to understand the significance of patterns in the two billion-year evolutionary history of life and to predict future effects of environmental change or genetic manipulation. Images are by far the most abundant source of documentation of life on the planet—but traits of organisms cannot be readily extracted from them.

The question: How do we take hundreds of thousands of images and use them to answer fundamental biological questions about ecology and evolution? At the very least, how do we extract traits, such as the example of a bird guide?

The answer: We make traits computable. Biology meets machine learning and vice versa.

Introducing imageomics (NSF OAC-2118240)

Imageomics poised to enable new understanding of life
Imageomics team releases BioCLIP
Imageomics is Hiring for a Communications & Engagement Manager
How technology and economics can help save endangered species: Experts look at future of Endangered Species Act

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